Web个性化推荐技术

Web page personalized recommendation technology

Web页面的几何级增长,使得用户面对信息的海洋却不得不为如何找到感兴趣的内容而犯难。个性化推荐为解决这一难题打开了一扇窗。文章在简单介绍个性化推荐技术现状的基础上,分析了传统的协同过滤及其改进算法、基于内容的个性化推荐技术及其改进算法、基于标记的推荐技术以及将多种信息进行融合的混合个性化推荐技术。对各种技术的优缺点作了比较分析,指出基于标记的推荐技术及混合个性化推荐技术将是未来个性化推荐技术中重要发展方向。

The geometric growth of the Web page makes the user, despite facing the ocean of information, has to make trouble with how to find the content of interest. Personalized recommendation opens a window to solve this problem. On the basis of brief introduction of the status of personalized recommendation technology, this paper analyzes the traditional collaborative filtering and its improved algorithm, content-based personalized recommendation technology and its improved algorithm, tag-based recommendation technology and a variety of information integrated hybrid personalized recommendation technology. The advantages and disadvantages of various technologies are compared and analyzed, and it is pointed out that the tag-based recommendation technology and hybrid personalized recommendation technology will be the future of personalized recommendation technology.